Animals 2020, 10, 457; doi:10.3390/ani10030457 www.mdpi.com/journal/animals
Article
Sensorial Hierarchy in Octopus vulgaris’s Food
Choice: Chemical vs. Visual
Valeria Maselli
1,†, Al-Sayed Al-Soudy
1,†, Maria Buglione
1, Massimo Aria
2,
Gianluca Polese
1,* and Anna Di Cosmo
1,*
1 Department of Biology, University of Napoli Federico II, Complesso Universitario Monte Sant’ Angelo, Via
Cinthia, 80126 Napoli, Italy; valeria.maselli@unina.it (V.M.);
alsayedalsoudymohamed.mostafa@unina.it (A.-S.A.-S.); maria.buglione@unina.it (M.B.)
2 Department of Economics and Statistics, University of Naples Federico II, Complesso Universitario Monte
Sant’Angelo, Via Cinthia, 80126 Napoli, Italy; massimo.aria@unina.it
* Correspondence: gianluca.polese@unina.it (G.P.); dicosmo@unina.it (A.D.C.);
Tel.: +39-081679210 (G.P.); +39-081679058 (A.D.C.) † These authors contributed equally to this work.
Received: 11 February 2020; Accepted: 5 March 2020; Published: 10 March 2020
Simple Summary: Coleoids are cephalopods endowed with a highly sophisticated nervous system
with keen sense organs and an exceptionally large brain that includes more than 30 differentiated
lobes. Within this group, Octopus vulgaris, well known as an intelligent soft-bodied animal, has a
significant number of lobes in the nervous system dedicated to decoding and integrating visual,
tactile, and chemosensory perceptions. In this study, we aimed to understand the key role of
chemical and visual cues during food selection in O. vulgaris. We first defined the preferred food,
and subsequently, we set up five different problem-solving tasks, in which the animal’s choice is
guided by visual and chemosensory signals, either alone or together, to evaluate whether individual
O. vulgaris uses a sensorial hierarchy. Our behavioural experiments show that this species does
integrate different sensory information from chemical and visual cues during food selection;
however, our results indicate that chemical perception provides accurate and faster information
leading to food choice. This research opens new perspectives on O. vulgaris’ predation strategies.
Abstract: Octopus vulgaris possesses highly sophisticated sense organs, processed by the nervous
system to generate appropriate behaviours such as finding food, avoiding predators, identifying
conspecifics, and locating suitable habitat. Octopus uses multiple sensory modalities during the
searching and selection of food, in particular, the chemosensory and visual cues. Here, we examined
food choice in O. vulgaris in two ways: (1) We tested octopus’s food preference among three different
kinds of food, and established anchovy as the preferred choice (66.67%, Friedman test p < 0.05); (2)
We exposed octopus to a set of five behavioural experiments in order to establish the sensorial
hierarchy in food choice, and to evaluate the performance based on the visual and chemical cues,
alone or together. Our data show that O. vulgaris integrates sensory information from chemical and
visual cues during food choice. Nevertheless, food choice resulted in being more dependent on
chemical cues than visual ones (88.9%, Friedman test p < 0.05), with a consistent decrease of the time
spent identifying the preferred food. These results define the role played by the senses with a
sensorial hierarchy in food choice, opening new perspectives on the O. vulgaris’ predation strategies
in the wild, which until today were considered to rely mainly on visual cues.
Keywords: Octopus vulgaris; cephalopod behaviour; problem-solving; cephalopod; chemical cues;
1. Introduction
The sensory systems of animals are crucial to detect environmental cues, and they are then
processed through the nervous system to generate appropriate behaviours [1], such as finding food,
avoiding predators, identifying conspecifics, locating suitable habitat, and attracting mates [2–4]. In
aquatic systems, as on land, chemical cues affect not only individual behaviour and population
dynamics, but also community organisation and ecosystem function.
Use of sensory modalities may be related to the ecology of the species, as prey or predator.
Animals use different sensory modalities to search for food such as chemical, vibrational, tactile,
sound, heat, and visual senses [5]. Among them, while vision enables marine animals to swim directly
to food items when they see it, chemoreception is essential to detect and locate food items, especially
for animals active at night or in the deep ocean [6–8]. Several studies suggest that aquatic species rely
more strongly on chemical perception rather than vision one when discriminating between harmless
and dangerous heterospecifics [9–12]. On the other hand, aquatic environments are particularly
prone to the variability of the visual and chemical conditions. For example, turbidity could reduce
the efficacy of visual cues even if octopus is capable of polarised vision [13–15], whereas currents
may disrupt chemical information.
Accordingly, the sensory system’s capabilities in cephalopods have been inextricably associated
with their evolutionary success, allowing them to occupy many ecological niches of the sea from
shallow waters to the deep sea. Coleoids are endowed with a highly sophisticated nervous system
[16–18] and an exceptionally large brain that includes more than 30 differentiated lobes [17,19].
Among them, Octopus vulgaris (hereafter octopus), well known as an intelligent soft-bodied animal,
has a significant number of lobes of the nervous system dedicated to visual, tactile, and chemosensory
perception [20,21]. Its nervous system has a high degree of cross-connectivity [17,20,22] able to
integrate sensory inputs coming from the environment through its well-developed sensory organs
[17,23–25].
Indeed, octopus has a rich repertoire of complex behaviours (Figure 1) that includes
problem-solving, visual, and chemo-tactile.
Figure 1. Octopus’s problem-solving abilities [26–32] through learning and memory abilities [19,33–
42] (associative learning [43–45], spatial memory [46–48], visual learning [43,49–51], chemo-tactile learning [52], long-term and short-term memory [34,38,39,53,54]).
In particular, the abilities of coleoids to perceive environmental cues have been mainly attributed
to its visual systems. Although, under limited light conditions, the chemical signals are the primary
important source as sensory inputs [23,55–57]. Thus, coleoids have remarkable abilities to recognise
chemical cues through the buccal lips and mouth [58], isolated sensory neurons [59,60], and arm
suckers [25,61–63]. Thus, they may explore their environment by touch and taste, while their olfactory
organs are able to perceive at distance [23,55,64–69], sensing a broad spectrum of chemical signals
[22].
It has been reported that chemosensory cues are important in decision-making in octopuses
[22,65–73]. Training experiments for testing chemical discrimination have been done in octopus to
demonstrate its ability to distinguish between objects based on their chemical differences using their
arm suckers and described this ability as taste by touch [24,25], while odour discrimination was tested
to assess perceptions of water-born chemical stimuli at distance [72]. Furthermore, it has been
highlighted that the octopus’s olfactory organ is able to change shape, from relaxed to erect to
perceive water-soluble compounds such as salts, sugars, amino acids, amines, peptides, proteins, and
functionalised hydrocarbons, which allows the animal to orient itself to detect the spatial gradient of
these chemical cues, helping in navigation and triggering spatial memories [23,57,74,75]. Octopuses
also possess a self-recognition mechanism, which consists of the attachment reflex inhibition of their
own suckers, due to chemical signals in the skin [76]. Recently, it has been hypothesised that olfaction
in octopus is not restricted to the olfactory organ, but it is also extended to other structures such as
the suckers, that were traditionally not considered olfactive. In particular, octopus exhibits a peculiar
performance that can be defined “smell by touch”, useful to detect odorant molecules that in water
are insoluble or have a very low solubility [55,74,77,78].
However, the octopus has always been described as a predominately “visual” animal with a
complex visual system characterised by the presence of highly developed eyes [22,79–82].
Analogously to vertebrate, octopus eyes are equipped with an un-inverted retina, a cornea, an iris,
and a lens. Even if they have just one type of receptor cell and only rhodopsin as pigment, octopuses
have the ability to recognise the plane of polarised light based on rhabdomeres dichroism. Moreover,
it has been proposed that they are able to discriminate colours [15] within a wide range of light
conditions [79–81], even if this mechanism is largely discussed due to the turbid aquatic environment
and it should be confirmed by behavioural experiments [83,84].
Besides their eyes, octopus can detect light to trigger the animal’s colour changes using other
visual senses. In fact, they can even perceive light through the skins [85], and they can camouflage
with the high-fidelity colour to natural and artificial backgrounds [86–91].
Experiments for testing visual discrimination have been established in octopus [92]. For
example, they can quickly learn to visually discriminate between a series of objects [49,51], learn to
use vision to direct an arm to a target [47], and recognise familiar conspecifics using vision [48,93].
Octopuses could be visually oriented as well, learning to use visual cues to choose and memorise a
den, and take the correct route to return to it [48].
When both chemical and visual information is available, octopuses combine information from
all sensory inputs that they perceive and then the animals can camouflage themselves, escape a
predator, or chase prey in the wild, or open jars for food in captivity [32,94,95]. This integration of
several sensory inputs may occur at central and/or peripheral levels [74,96], but the relative
contribution of each sense remains poorly understood.
Our study investigated the priority given to chemical vs. visual perception to establish the
sensorial hierarchy in food choice by O. vulgaris.
2. Materials and Methods
2.1. Animals
Specimens of O. vulgaris (n = 4, bodyweight 600 ± 50 g, mean ± SD) were collected from the Bay
of Naples (Italy) between June 2018 and October 2018. The animals were transferred to the Di
Cosmo’s cephalopod facility at the Department of Biology, University of Naples Federico II, Italy and
kept individually in large fibreglass tanks (50 × 50 × 50 cm) filled with seawater [97,98]. Water
temperature was kept at 18 ± 1 °C (mean ± SD), and illumination was maintained with natural
photoperiod using LED tubes as a light source. All tanks were enriched by adding an amphora (as a
den) and rocks (two rocks, about 6 cm
3). An acclimation period of 15 days was initiated before any
experiments were performed. During this time, octopuses were fed ad libitum with crabs (Carcinus
sp.), a different type of food than was used during trials to reduce the effects of repeated exposure on
food choice. The experiments in the present study were conducted in accordance with the principles
and procedures that were approved by the Institutional Animal Care of the University of Napoli
Federico II and the Ministry of Health (Project n° 608/2016-PR-17 June 2016; protocol n. DGSAF
0022292-P-3 October 2017), and according to the Italian and European law (European Directive
2010/63 EU L276; Italian DL. 4 March 2014, no. 26; the ethical principles of Reduction, Refinement
and Replacement).
2.2. Experimental Design
To establish the priority given to chemical vs. visual cues in food choice, we defined a
behavioural experimental design (Figure 2).
Firstly, we tested the octopus food preference (FP), giving them three different food types
(anchovy, Engraulis encrasicolus; clam, Ruditapes philippinarum; mussel, Mytilus edulis) for 7 days. All
foods were placed within octopus’s visual field at the same distance and simultaneously. In the FP
test, we evaluated the first food eaten among three provided that should correspond to the favourite
one.
Then, to investigate an octopus’s ability to identify the jar containing their favourite food, we
subjected the octopuses to five problem-solving tasks (T1, T2, T3, T4, T5, Figure 2, Figure S1):
•
T1 (positive control)—food provided in transparent screw-jars with pierced lid;
•
T2—food provided in sealed (not pierced) and transparent screw-jars;
•
T3—food provided in no-transparent (blind) screw-jars with pierced lid;
•
T4 (confusion task)—food provided in the blind screw-jars with pierced lid supplied outside
with a realistic picture of the food that results different from what is inside;
•
T5 (negative control)—food provided in completely blind and sealed screw-jars.
Each octopus was exposed to 5 trial days for each task. All experiments (FP, T1–T5) were
conducted once per day and recorded for at least 1 hr with a digital camera (GoPro Hero 5) positioned
on the front of the aquarium (20 cm), to analyse octopus’s choice and behavioural responses, such as
exploring, selecting the jar, and eating. We performed FP followed by T1 as first, then animals were
tested with the tasks fromT2 toT5 randomly.
In the FP tests, we considered the food that was eaten, while in the tasks we considered four
behaviours (1, jar touched; 2, jar opened; 3, food touched; 4, food eaten) and the time that animals
spend to choose the jar to open, from the very first touch to the grab and wrap of the jar starting to
open it (Δt).
2.3. Statistical Analysis
We examined videos using a high-resolution media player (QuickTime 7, Apple Inc., Cupertino,
CA, USA) for behavioural analysis and we recorded data into an Excel data sheet (Microsoft Excel
15.32). Data are expressed in percentages and to analyse the data, we used GraphPad Prism 8
software, SPSS (IBM Corp., Armonk, NY, USA) and R cran [99], performing the Friedman and
Wilcoxon matched-pairs tests on ranks within and between experimental conditions.
Figure 2. Experimental design to establish the sensorial hierarchy in food choice in Octopus vulgaris
between chemical and visual cues. Food preference test (FP); food types provided in the transparent screw-jars with pierced lids (T1), positive control, both chemical and visual cues; food types in transparent screw-jars with no-pierced lids (T2), only visual cues; food types in blind screw-jars with pierced lids (T3), only chemical cues; food types in screw-jars with pierced lids with outside a photo of food (anchovies, clam, mussel) that is different from the food inside (T4), chemical true and visual false cues; food types inside blind screw-jars with no-pierced lids as control (T5), negative control, both chemical and visual cues are absent.
3. Results
3.1. Food Preference in O. vulgaris
During acclimatisation, animals readily recovered their normal behavioural repertoire and did
not show any sign of distress. During the food preference test (FP), octopuses approached and
explored the different food items presented (Table 1). Animals readily grabbed and fed based on their
individual choice. All octopuses touched the three kinds of food provided, exhibiting no significant
differences in the first touch for the proposed foods (Table 1, Figure S2, Table S1).
Table 1. First touch during the food preference test (percentage).
Food Me IQR (Q1; Q3) Friedman Test (Chi-Square; p-Value)
Anchovies 33.33 25.00; 55.00
1.524; 0.467
Clams 33.33 29.16; 45.00
Mussels 33.33 12.50; 40.00
Median (Me), Interquartile Range (IQR): Q1—first quartile, Q3—third quartile, Friedman test.
Although, evaluating the first food eaten, octopuses showed a significative preference for
anchovies as a first choice (high-preference), followed by clams (moderate-preference), and mussels
(low-preference; Tables 2 and 3, Figure S2, Table S2).
Table 2. Food preference test (percentage).
Food Me IQR (Q1; Q3) Friedman Test (Chi-Square; p-Value)
Anchovies 66.67 66.67; 90.00
11.120; 0.004
Clams 20.00 0.00; 33.33
Mussels 0.00 0.00; 0.00
Median (Me), Interquartile Range (IQR): Q1—first quartile, Q3—third quartile, Friedman test, p-values < 0.05 are marked in bold.
Table 3. Food preference test. Wilcoxon matched-pairs test significance p-value, p-values < 0.05 are
marked in bold.
Food Anchovies Clams Clams 0.027
Mussels 0.018 0.216
3.2. Food Choice under Different Problem-Solving Tasks
In five of discrimination tasks (T1–T5), jars containing different foods were placed into the
bottom of the tank, and all animals performed behaviours such as touching, exploring, and opening
the jars. The results revealed that octopuses did not show significant differences in jar-touching
behaviours among any of the tests (Friedman test T1–T5, Chi-square = 38.460, p = 0.000). Conversely,
they generally showed high significant variance in food recognition ability associated with the
jar-opening task during all discrimination experiments (Tables 4 and 5, Figure S3, Table S3). In T1 (both
chemical and visual discriminations are available), octopuses revealed the most significant ability to
distinguish the food inside the jars and subsequently open the jar that contained the preferred food
(anchovies), then the mussel, whereas the clam was ignored. In T2 (only visual discrimination), the
octopuses had a significant decrease in recognition of the jar that contained the preferred food. In T3
(only chemical discrimination), the octopuses showed a highly significant difference in selecting the
jar containing the preferred food. In the confusion task T4 (real chemical and false visual cues), the
octopuses had to overcome this confusion effect by following one of the two cues to find the right jar
containing the preferred food. In T4, octopuses exhibited high significant ability in food recognition
guided by chemoreception in the opening selected jar containing anchovies. In the control group (T5),
without any possibility to distinguish the food inside the jars neither by vision nor by chemosensory
cues, all octopuses showed no difference in choosing the jar.
Table 4. Food choice under different tasks in Octopus vulgaris (percentage).
Task Food Me IQR (Q1; Q3) Friedman Test (Chi-Square; p-Value)
T1 Combined Chemical and Visual Cues Anchovies 100.00 75.00; 100.00 8.400; 0.015 Clams 0.00 0.00; 0.00 Mussels 0.00 0.00; 25.00 T2 Only Visual Cues Anchovies 50.00 0.00; 100.00 3.500; 0.174 Clams 0.00 0.00; 0.00 Mussels 0.00 0.00; 75.00 T3 Only Chemical Cues Anchovies 100.00 58.33; 100.00 7.625; 0.022 Clams 0.00 0.00; 16.67 Mussels 0.00 0.00; 25.00 T4 Real Chemical and False Visual
Cues Anchovies 100.00 75.00; 100.00 8.400; 0.015 Clams 0.00 0.00; 0.00 Mussels 0.00 0.00; 25.00 T5 Negative Control Anchovies 0.00 0.00; 100.00 0.400; 0.819 Clams 0.00 0.00; 50.00 Mussels 0.00 0.00; 100.00
Median (Me), Interquartile Range (IQR): Q1—first quartile, Q3—third quartile, Friedman test, p-values < 0.05 are marked in bold.
Table 5. Food choice under different tasks in O. vulgaris. Wilcoxon matched-pairs test significance
p-value, p-values < 0.05 are marked in bold.
T1 Combined Chemical and Visual Cues Anchovies Clams
Clams 0.034
Mussels 0.046 0.317
T3 Only Chemical Cues Anchovies Clams
Clams 0.039
Mussels 0.049 0.655
T4 Real Chemical and False Visual Cues Anchovies Clams
Clams 0.034
Mussels 0.046 0.317
3.3. Food Preference Compared to Jar Choice under Different Problem-Solving Tasks
We analysed the octopus’s food preference considering only food eaten, after jar opening (Tables
6 and 7, Table S4). Octopuses exhibited no significant difference in the first eaten food comparing FP
to each discrimination task, in fact, the first choice was always anchovies, the second clams, and then
mussels. In T1, in which octopuses can use both chemical and visual cues, the first food eaten resulted
in 100% anchovies, ignoring clams and mussels. Similarly, in T2, in which animals can use just visual
cues, the first food eaten resulted in 100% anchovies as above. In T3, where animals perceived just
chemical cues, the first food eaten resulted in anchovies, followed by clams, and ignoring mussels.
Later, in T4, in which octopuses perceived the right chemical cues while the visual one was false, the
first food eaten resulted in 100% anchovies, avoiding clams and mussels. In the control task, where
octopuses were not allowed to perceive either visual or chemical cues, the choices among the three
food were randomly directed.
Table 6. Maintained food preference during problem-solving tasks in Octopus vulgaris (percentage).
Task Food Me IQR (Q1; Q3) Friedman Test (Chi-Square; p-Value)
T1 Combined Chemical and Visual Cues Anchovies 100.00 100.00; 100.00 10.000; 0.007 Clams 0.00 0.00; 0.00 Mussels 0.00 0.00; 0.00 T2 Only Visual Cues Anchovies 100.00 100.00; 100.00 8.000; 0.018 Clams 0.00 0.00; 0.00 Mussels 0.00 0.00; 0.00 T3 Only Chemical Cues Anchovies 100.00 83.33; 100.00 9.500; 0.009 Clams 0.00 0.00; 16.67 Mussels 0.00 0.00; 0.00 T4 Real Chemical and False Visual
Cues Anchovies 100.00 100.00; 100.00 10.000; 0.007 Clams 0.00 0.00; 0.00 Mussels 0.00 0.00; 0.00 T5 Negative Control Anchovies 0.00 0.00; 50.00 0.000; 1.000 Clams 0.00 0.00; 50.00 Mussels 0.00 0.00; 50.00
Median (Me), Interquartile Range (IQR): Q1—first quartile, Q3—third quartile, Friedman test, p-values < 0.05 are marked in bold.
Table 7. Maintained food preference during problem-solving tasks in Octopus vulgaris. Wilcoxon
matched-pairs test significance p-value.
T1 Combined Chemical and Visual Cues Anchovies Clams
Clams 0.025
Mussels 0.025 1.000
T2 Only Visual Cues Anchovies Clams
Clams 0.046
Mussels 0.046 1.000
T3 Only Chemical Cues Anchovies Clams
Clams 0.034
Mussels 0.034 0.317
T4 Real Chemical and False Visual Cues Anchovies Clams
Clams 0.025
Mussels 0.025 1.000
3.4. Time Spent to Choose Which Jar Opening under Different Problem-Solving Tasks
To elucidate which sense was most important in food choice, we compared the time spent to
recognise the preferred food inside the jar using visual and chemical perceptions, combined or
separately (Figure 3, Tables 8 and 9, Table S5). We considered the time spent by an octopus from the
very first touch and choice of the jar to open (Δt, Figure 3). All octopuses opened the jars to reach the
food independently from the task proposed, and showed relatively differences in time needed to
make the choice (Figure 3). Octopuses spent a few seconds to recognise the preferred food when
chemical and visual cues were available for T1 (Δt (s) = 31.0, Me), while the time increased
considerably when one of the two or both senses were limited; in fact, for T2 (visual cues only), Δt (s)
= 394.50 s (Me); in T3 (chemical cues only), Δt (s) = 25.00 s (Me); in T4 (true chemical and false visual
cues), Δt (s) = 22.50 s (Me); and finally, in T5 (negative control), Δt (s) = 1932.00 (Me).
Figure 3. Violin plot of the time spent (Δt) by Octopus vulgaris in problem-solving. T1 combined
chemical and visual discriminations; T2 only visual discrimination; T3 only chemical discrimination; T4 real chemical and false visual discriminations; T5 negative control. Δt (s): time spent to choose the jar to open, from the very first touch to the grab and wrap of the jar starting to open it. Wilcoxon matched-pairs test vs T1: significance is denoted with asterisks * for p < 0.05.
Table 8. Time spent (Δt) by Octopus vulgaris in problem-solving (second).
Task Me IQR (Q1; Q3) Friedman Test (Chi-Square; p-Value)
T1 combined chemical and visual
cues 31.00 18.50; 47.25
9.055; 0.059
T2 only visual cues 394.50 35.00; 1263.50
T3 only chemical cues 25.00 13.00; 30.00
T4 real chemical and false visual cues 22.50 15.25; 147.50
T5 negative control 1932.00 1356.00; 2401.00
Median (Me), Interquartile Range (IQR): Q1—first quartile, Q3—third quartile, Friedman test.
Table 9. Time spent (Δt) by Octopus vulgaris in problem-solving. Wilcoxon matched-pairs test
significance p-value, p-values < 0.05 are marked in bold.
T1 Combined Chemical and Visual Cues T2 Only Visual Cues T3 Only Chemical Cues T4 Real Chemical and False Visual
Cues
T2 only visual cues 0.117
T3 only chemical cues 0.944 0.108
T4 real chemical and
false visual cues 0.346 0.442 0.780
T5 negative control 0.009 0.407 0.009 0.029
4. Discussion
In the wild, octopuses are generalist and opportunistic predators that prey on a great variety of
species [100,101]. There were strong differences in prey preference among individual octopuses and
the prey choice could be varied according to several factors such as predation risks, interspecific
competition, or local prey abundance [102].
In captivity, octopuses have shown preferences for selected preys [103–105], making their food
choice by using their sophisticated sense organs. Among these, much attention has been given to
vision [22,79–82]. They also possess sensitive olfactory organs that they use to detect chemicals in the
water [23,57,106,107]. However, they also possess suckers that have excellent tactile and chemical
sensitivity to perceive chemicals by touch [55,62,68]. Both chemical and visual information is
elaborated and stored in specific brain lobes, located in the supra-oesophageal mass and optic lobes
[17,92]. Nevertheless, no previous study has addressed the question on which sense has the priority
in the food search and choice, although most of the behavioural studies, performed prior to this one,
were focused on just their visual capabilities [47,51,64,108–112]. Chemical perception is undoubtedly
the first sense that evolved, resulting in widespread sensory modality in all animals. The biological
system generated an enormous number of receptors genes to detect and recognise chemicals, but
chemoperception resulted largely underappreciated by scientists, even in light of sensory drive
evolution theory [113,114].
Here, we establish the priority given to chemical versus visual perception in octopus’s food
choice just using the ethological approach. Our experiments are performed on a small animal group
made by four samples that allow us to investigate the octopus’s behaviour, in according with the 3Rs
rules (reduction, refinement, replacement) as allowed by the Italian law (European Directive 2010/63
EU L276; the Italian DL. 3 April 2014, no. 26).
On the basis of the octopus’s exploratory behaviours observed during food preference test (FP),
animals tested show a clear preference for the anchovies. However, the first food touch was not
always consistent with the food preference (Figure 3), exhibiting a peculiar exploratory behaviour
when they approach a new environment [80,94,103,115–119]. Although the fact that octopuses did
not touch the preferred food immediately is a clear sign that they cannot rely just on visual perception
when they approach a prey, evidently, they need to acquire more information about what they see,
using other senses like chemical and tactile, to understand the nature of what they are going to eat.
To this end, octopuses are equipped with arms containing a widespread chemotactic sensory
system concentrated in the hundreds of suckers [24,54,61,63,120,121]. Thus, food choice in octopuses
is driven by multiple sensory cues; nevertheless, a hierarchy in sensory perceptions could be
hypothesised.
In our experiments, it was clear that they are mainly attracted by the physical presence of it,
without recognising the preferred food by vision at distance. Subsequently, after a random first touch
(Figure 3A), octopuses start an evaluation of the food using tactile and chemical senses. This allowed
us to recognise a temporal hierarchy, where the octopus uses first visual, tactile, and chemical senses,
in this order. Our observations are in agreement with previous studies in which it has been reported
that octopuses are visually oriented towards a new given object, and then explored it with their arms
[103,110,122]. In this case, we are not able to define which sensory cues are dominant by which they
arrive at a decision on food choice, because this behaviour represents the result of the integration of
different sensory information coming from visual, tactile, and/or chemical systems sequentially to
perform a suitable behaviour.
To understand whether there is a sensorial hierarchy between visual and chemical, to establish
which is dominant in decision-making, we tested octopuses with five discrimination tasks.
Problem-solving and flexible tool-use are considered hallmarks of cognitive abilities and intelligence [123,124].
In the wild, octopuses exhibit behavioural flexibilities in solving many kinds of problem. For instance,
the giant octopus, while attached to a rock can use one of the arm tips to attract a seagull, then when
the seagull gets close the sea surface and within the range of the animal’s arm, it grabs and draws the
bird into the water (https://youtu.be/LNwegprmtx8). In captivity, octopus also exhibits cognitive
abilities in solving problems, when challenged with artificial tasks. Octopuses could retrieve
L-shaped food containers from crevices, with or without visual access and independently from the
spatial orientation of containers [32] or learn how to unscrew a jar to reach the food [95]. The data
here discussed clearly show the ability of octopuses to open jars during all five discrimination tasks
successfully.
Our findings indicate that octopuses recognise the jar containing the anchovy, that resulted to
be the preferred food in FP test (Tables 2 and 3), in all discrimination tasks (T1–T4), with the exception
of the negative control (T5) (Tables 4 and 5). However, the task in which it is evident that the
dominant sense is the chemical one, it is the confusion task (T4), where, despite the fact that octopuses
were cheated with a false picture of the food inside, they picked up anchovy in the 100% of the cases.
This evidence is corroborated when we excluded the chemical cues, focusing exclusively on the visual
sense (T2), in which the jar containing anchovy was selected in only 50% of the cases. The negative
control experiment (T5) reinforces our claim, in fact, that the chemical and visual information was
not used by octopuses in solving this task, so the choice was randomly made.
These findings are consistent with Mather and collegues [125] recently reporting that octopuses
did not open the jar to get a small crayfish inside, because chemical cues from herring were smeared
on its surface. Our experimental design (Figure 2) allowed us to demonstrate that in O. vulgaris both
chemical and visual perceptions are essential in food choice; nevertheless, the chemical signals are
the most important inputs. On the other hand, when we compared food eaten to jar choice under all
different problem-solving tasks, we discovered that the preference to anchovies was maintained,
even when the first jar chosen was not containing the anchovy (Tables 4 and 5). In fact, in T2, where
octopuses could just see the food inside, in 33.3% of cases, they opened first the jar containing a
mussel, but because octopuses do not eat it, they resultantly were forced to look for another “chance
to win” the preferred food. Merging the data coming from all tasks (Tables 4 and 5), we observed that
the percentage of successful decisions to open as first the jar contained the preferred food, based on
chemical cues, were significantly higher than visual one (88.9% vs. 11.1% respectively, Wilcoxon
matched-pairs test p < 0.05).
Furthermore, when we considered Δt, octopuses spent more time to visually discriminate the
preferred food than either by combined visual and chemical discrimination or by chemical
discrimination only (Figure 4). Despite the fact that the differences encountered in Δt are affected by
inter-individual variability, that is well known in this animal, and the limited number of specimens
used, these results indicate that octopuses are able to decrease Δt to correctly solve operant tasks
based on chemical information (Figure 4), this might be of importance in predation strategy in the
wild where the prey is not closed in a jar, but hidden and ready to escape. However, while we posit
that octopus, privileges its chemical stimuli over visual ones, we should appreciate that the two
combined increase the probability of success in prey [74,95,96,126].
Figure 4. Visual vs. chemical perception in Octopus vulgaris. Percentage of the successful decisions to
open as first the jar that contained the preferred food, based on chemical (purple) or visual (orange) cues. Wilcoxon matched-pairs test vs. T1 significance is denoted with asterisks * for p < 0.05.
Our results demonstrate involvement of chemosensory sense in octopus food choice behaviour,
and allows a reassessment of the importance of chemical perception in the ecology of octopus.
Octopus is, in fact, able to detect chemical cues with different spatial ranges through either contact or
distant chemoreception. Its capability is based on the presence of the olfactory organ, structure
mainly dedicated for hydrosoluble molecules, and the numerous chemoreceptors bared on its sucker
rims that are essential to perceive and explore bi-dimensional traces consisting of insoluble molecules
released on the seafloor in turn by preys, predators, or conspecifics [74,75]. These considerations will
open new perspectives to study the behaviour of such an intriguing animal that is the octopus.
Supplementary Materials: The following are available online at www.mdpi.com/2076-2615/10/3/457/s1, Figure
S1: frames of O. vulgaris under task. Animal body weight 600 g; jar diameter 5.5 cm, height 7.0 cm. Figure S2: First touch and food preference in O. vulgaris. (A) Boxplot of the food that was touched first (Friedman test, p > 0.05); (B) Boxplot of food that was eaten first (Friedman test, p < 0.05). Wilcoxon matched pairs test significance is denoted with asterisks * for p < 0.05. Figure S3: Food choice under different tasks in O. vulgaris. T1 combined chemical and visual cues; T2 only visual cues; T3 only chemical cues; T4 real chemical and false visual cues; T5 negative control. (A) five day trend preferences; (B) single day preferences. Friedman test T1–T5, Chi-square = 38.460, p < 0.05. Data were log transformed, Wilcoxon matched pairs test significance is denoted with asterisks * for p < 0.05. Table S1: First touch during the food preference test (percentage). Median (Me), Interquartile Range IQR: Q1 first quartile and Q3 third quartile, Mean (M), Standard deviation (SD), Standard error (SE), Friedman test , p-values < 0.05 are marked in bold. Table S2: Food preference test (percentage). Median (Me), Interquartile Range IQR: Q1 first quartile and Q3 third quartile, Mean (M), Standard deviation (SD), Standard error (SE), Friedman test, p-values < 0.05 are marked in bold. Table S3: Food choice under different tasks in Octopus vulgaris (percentage). Median (Me), Interquartile Range IQR: Q1 first quartile and Q3 third quartile, Mean (M), Standard deviation (SD), Standard error (SE), Friedman test, p-values < 0.05 are marked in bold. Table S4: Maintain food preference during problem-solving tasks in Octopus vulgaris (percentage). Median (Me), Interquartile Range IQR: Q1 first quartile and Q3 third quartile, Mean (M), Standard deviation (SD), Standard error (SE), Friedman test,
p-values < 0.05 are marked in bold. Table S5: Time spent (Δt) by Octopus vulgaris in problem-solving (second).
Median (Me), Interquartile Range IQR: Q1 first quartile and Q3 third quartile, Mean (M), Standard deviation (SD), Standard error (SE), Friedman test, p-values < 0.05 are marked in bold.
Author Contributions: Conceptualisation, V.M. and A.D.C.; data curation, V.M., A.-S.A.-S., G.P., and A.D.C.;
formal analysis, V.M., A.-S.A.-S., M.B., M.A., G.P., and A.D.C.; experimental execution, V.M. and A.-S.A.-S.; statistical analysis, M.A. and V.M.; writing—original draft, V.M., A.-S.A.-S., G.P., and A.D.C.; writing—review and editing, V.M., M.A., and A.D.C. All authors have read and agreed to the published version of the manuscript.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflicts of interest.
References
1. Williamson, R. A Sensory Basis for Orientation in Cephalopods. J. Mar. Biol. Assoc. United Kingdom 2009,
75, 83–92, doi:10.1017/S0025315400015216.
2. Dangles, O.; Irschick, D.; Chittka, L.; Casas, J. Variability in sensory ecology: Expanding the bridge between physiology and evolutionary biology. Q Rev. Biol. 2009, 84, 51–74.
3. Jordan, L.A.; Ryan, M.J. The sensory ecology of adaptive landscapes. Biol. Lett. 2015, 11, 20141054, doi:10.1098/rsbl.2014.1054.
4. Hauser, F.E.; Chang, B.S. Insights into visual pigment adaptation and diversity from model ecological and evolutionary systems. Curr. Opin. Genet. Dev. 2017, 47, 110–120, doi:10.1016/j.gde.2017.09.005.
5. Atema, J.; Fay, R.R.; Popper, A.N.; Tavolga, W.N. Sensory Biology of Aquatic Animals; Springer: New York, NY, USA, 1988; doi:10.1007/978-1-4612-3714-3.
6. Prosser, C.L. Comparative Animal Physiology; Saunders: Philadelphia, PA, USA, 1973.
7. Weissburg, M.J.; Zimmer-Faust, R.K. Life and Death in Moving Fluids: Hydrodynamic Effects on
Chemosensory-Mediated Predation. Ecology 1993, 74, 1428–1443, doi:10.2307/1940072.
8. Derby, C.D.; Steullet, P. Why do animals have so many receptors? The role of multiple chemosensors in animal perception. Biol. Bull. 2001, 200, 211–215, doi:10.2307/1543318.
9. Gerlai, R. Can Paradise Fish (Macropodus opercularis, Anabantidae) Recognize a Natural Predator? An Ethological Analysis. Ethology 1993, 94, 127–136, doi:10.1111/j.1439-0310.1993.tb00553.x.
10. Kiesecker, J.M.; Chivers, D.P.; Blaustein, A.R. The use of chemical cues in predator recognition by western toad tadpoles. Anim. Behav. 1996, 52, 1237–1245, doi:10.1006/anbe.1996.0271.
11. Mathis, A.; Vincent, F. Differential use of visual and chemical cues in predator recognition and threat-sensitive predator-avoidance responses by larval newts (Notophthalmus viridescens). Can. J. Zool. 2000, 78, 1646–1652, doi:10.1139/z00-090.
12. Ferrari, M.C.O.; Wisenden, B.D.; Chivers, D.P. Chemical ecology of predator–prey interactions in aquatic ecosystems: A review and prospectusThe present review is one in the special series of reviews on animal– plant interactions. Can. J. Zool. 2010, 88, 698–724, doi:10.1139/Z10-029.
13. Moody, M.F.; Parriss, J.R. The discrimination of polarized light by Octopus: A behavioural and morphological study. Z. Vgl. Phys. 1961, 44, 268–291, doi:10.1007/BF00298356.
14. Talbot, C.M.; Marshall, J.N. The retinal topography of three species of coleoid cephalopod: Significance for perception of polarized light. Philos. Trans. R. Soc. B Biol. Sci. 2011, 366, 724–733, doi:doi:10.1098/rstb.2010.0254.
15. Stubbs, A.L.; Stubbs, C.W. Spectral discrimination in color blind animals via chromatic aberration and pupil shape. Proc. Natl. Acad. Sci. USA 2016, 113, 8206–8211, doi:10.1073/pnas.1524578113.
16. Nixon, M.; Young, J.Z. The Brain and Lives of Cephalopods; Oxford University Press: Oxford, UK, 2003. 17. Young, J.Z. The Anatomy of the Nervous System of Octopus Vulgaris; Oxford University Press: New York, NY,
USA, 1971; p. 690.
18. Young, J.Z. The organization of a cephalopod ganglion. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 1972, 263, 409–429, doi:10.1098/rstb.1972.0005.
19. Hallon, R.T.; Messenger, J.B. Cephalopod Behaviour, 2nd ed.; Cambridge University Press: Cambridge, UK, 2018; p. 365.
20. Shigeno, S.; Andrews, P.L.R.; Ponte, G.; Fiorito, G. Cephalopod Brains: An Overview of Current Knowledge to Facilitate Comparison With Vertebrates. Front. Physiol. 2018, 9, 952, doi:10.3389/fphys.2018.00952. 21. Grasso, F.W.; Basil, J.A. The evolution of flexible behavioral repertoires in cephalopod molluscs. Brain
22. Budelmann, B.U. Active marine predators: The sensory world of cephalopods. Mar. Freshw. Behav. Physiol.
1996, 27, 59–75, doi:10.1080/10236249609378955.
23. Polese, G.; Bertapelle, C.; Di Cosmo, A. Olfactory organ of Octopus vulgaris: Morphology, plasticity, turnover and sensory characterization. Biol. Open 2016, 5, 611–619, doi:10.1242/bio.017764.
24. Wells, M.J. Taste by Touch: Some experiments with octopus. J. Exp. Biol. 1963, 40, 187–193.
25. Wells, M.J.; Freeman, N.H.; Ashburner, M. Some experiments on the chemotactile sense of octopuses. J.
Exp. Biol. 1965, 43, 553–563.
26. Anderson, R.C.; Mather, J.A. The packaging problem: Bivalve prey selection and prey entry techniques of the octopus Enteroctopus dofleini. J. Comp. Psychol. 2007, 121, 300–305, doi:10.1037/0735-7036.121.3.300. 27. Finn, J.K.; Tregenza, T.; Norman, M.D. Defensive tool use in a coconut-carrying octopus. Curr. Biol. 2009,
19, R1069–R1070, doi:10.1016/j.cub.2009.10.052.
28. Kuba, M.J.; Gutnick, T.; Burghardt, G.M. Learning from play in octopus. In Cephalopod Cognition; Darmaillacq, A.-S., Dickel, L., Mather, J., Eds.; Cambridge University Press: Cambridge, UK, 2014; pp. 57– 67.
29. Maldonado, H. The positive learning process in Octopus vulgaris. Z. Vgl. Phys. 1963, 47, 191–214, doi:10.1007/BF00303120.
30. Maldonado, H. The positive and negative learning process in Octopus vulgaris Lamarck. Influence of the vertical and median superior frontal lobes. Z. Vgl. Phys. 1965, 51, 185–203, doi:10.1007/BF00299293. 31. Moriyama, T.; Gunji, Y.-P. Autonomous Learning in Maze Solution by Octopus. Ethology 1997, 103, 499–
513, doi:10.1111/j.1439-0310.1997.tb00163.x.
32. Richter, J.N.; Hochner, B.; Kuba, M.J. Pull or Push? Octopuses Solve a Puzzle Problem. PLoS ONE 2016, 11, e0152048, doi:10.1371/journal.pone.0152048.
33. Godfrey-Smith, P. Cephalopods and the evolution of the mind. Pac. Conserv. Biol. 2013, 19, 4–9, doi:10.1071/PC130004.
34. Hochner, B.; Brown, E.R.; Langella, M.; Shomrat, T.; Fiorito, G. A learning and memory area in the octopus brain manifests a vertebrate-like long-term potentiation. J. Neurophysiol. 2003, 90, 3547–3554, doi:10.1152/jn.00645.2003.
35. Hochner, B.; Shomrat, T.; Fiorito, G. The Octopus: A Model for a Comparative Analysis of the Evolution of Learning and Memory Mechanisms. Biol. Bull. 2006, 210, 308–317, doi:10.2307/4134567.
36. Mather, J.A.; Dickel, L. Cephalopod complex cognition. Curr. Opin. Behav. Sci. 2017, 16, 131–137, doi:10.1016/j.cobeha.2017.06.008.
37. Mather, J.A.; Kuba, M.J. The cephalopod specialties: Complex nervous system, learning, and cognition.
Can. J. Zool. 2013, 91, 431–449, doi:10.1139/cjz-2013-0009.
38. Sanders, G.D. Invertebrate Learning: Cephalopods; Plenum Press: New York, NY, USA, 1975.
39. Shomrat, T.; Turchetti-Maia, A.L.; Stern-Mentch, N.; Basil, J.A.; Hochner, B. The vertical lobe of cephalopods: An attractive brain structure for understanding the evolution of advanced learning and memory systems. J. Comp. Physiol. A Neuroethol. Sens. Neural Behav. Physiol. 2015, 201, 947–956, doi:10.1007/s00359-015-1023-6.
40. Shomrat, T.; Zarrella, I.; Fiorito, G.; Hochner, B. The octopus vertical lobe modulates short-term learning rate and uses LTP to acquire long-term memory. Curr. Biol. 2008, 18, 337–342, doi:10.1016/j.cub.2008.01.056. 41. Wells, M.J. Octopus. Physiology and Behaviour of an Advanced Invertebrate; Chapman and Hall: London, UK,
1978.
42. Young, J.Z.A. Model of the Brain; Clarendon Press: Oxford, UK, 1964.
43. Amodio, P.; Fiorito, G. Chapter 23—Observational and Other Types of Learning in Octopus. In Handbook
of Behavioral Neuroscience; Menzel, R., Benjamin, P.R., Eds.; Elsevier: Amsterdam, The Netherlands, 2013;
Volume 22, pp. 293–302.
44. Fiorito, G.; Scotto, P. Observational Learning in Octopus vulgaris. Science 1992, 256, 545–547, doi:10.1126/science.256.5056.545.
45. Tokuda, K.; Masuda, R.; Yamashita, Y. Conditional discrimination in Octopus vulgaris. J. Ethol. 2015, 33, 35– 40, doi:10.1007/s10164-014-0414-4.
46. Boal, J.G.; Dunham, A.W.; Williams, K.T.; Hanlon, R.T. Experimental evidence for spatial learning in octopuses (Octopus bimaculoides). J. Comp. Psychol. 2000, 114, 246–252, doi:10.1037/0735-7036.114.3.246. 47. Gutnick, T.; Byrne, R.A.; Hochner, B.; Kuba, M. Octopus vulgaris uses visual information to determine the
48. Mather, J. Navigation by spatial memory and use of visual landmarks in octopuses. J. Comp. Physiol. A 1991,
168, 491–497, doi:10.1007/BF00199609.
49. Boycott, B.B.; Young, J.Z. Reaction to shape in Octopus vulgatis Lamarck. Proc. Zool. Soc. Lond. 1956, 126, 491–547, doi:10.1111/j.1096-3642.1956.tb00451.x.
50. Fiorito, G.; Chichery, R. Lesions of the vertical lobe impair visual discrimination learning by observation in
Octopus vulgaris. Neurosci. Lett. 1995, 192, 117–120, doi:10.1016/0304-3940(95)11631-6.
51. Messenger, J.B.; Sanders, G.D. Visual preference and two-cue discrimination learning in octopus. Anim.
Behav. 1972, 20, 580–585.
52. Wells, M.J.; Wells, J. Tactile discrimination and the behaviour of bund Octopus. Pubbl. Staz. Zool. Napoli
1956, 28, 94–126.
53. Marini, G.; De Sio, F.; Ponte, G.; Fiorito, G. Behavioral Analysis of Learning and Memory in Cephalopods. In Learning and Memory: A Comprehensive Reference, 2nd ed.; Elsevier: Amsterdam, The Netherlands, 2017; Volume 1, pp. 441–462.
54. Wells, M.J. Short-term learning and interocular transfer in detour experiments with octopuses. J. Exp. Biol.
1967, 47, 393–408.
55. Di Cosmo, A.; Polese, G. Cephalopod Olfaction; Oxford University Press: Oxford, UK, 2017; Volume 1, pp. 1– 15.
56. Nilsson, D.E.; Warrant, E.J.; Johnsen, S.; Hanlon, R.; Shashar, N. A unique advantage for giant eyes in giant squid. Curr. Biol. 2012, 22, 683–688, doi:10.1016/j.cub.2012.02.031.
57. Polese, G.; Bertapelle, C.; Di Cosmo, A. Role of olfaction in Octopus vulgaris reproduction. Gen. Comp.
Endocrinol. 2015, 210, 55–62, doi:10.1016/j.ygcen.2014.10.006.
58. Emery, D.G. Ciliated sensory neurons in the lip of the squid Lolliguncula brevis Blainville. Cell Tissue Res.
1975, 157, 323–329, doi:10.1007/BF00225523.
59. Baratte, S.; Bonnaud, L. Evidence of early nervous differentiation and early catecholaminergic sensory system during Sepia officinalis embryogenesis. J. Comp. Neurol. 2009, 517, 539–549, doi:10.1002/cne.22174. 60. Buresi, A.; Croll, R.P.; Tiozzo, S.; Bonnaud, L.; Baratte, S. Emergence of sensory structures in the developing
epidermis in Sepia officinalis and other coleoid cephalopods. J. Comp. Neurol. 2014, 522, 3004–3019, doi:10.1002/cne.23562.
61. Graziadei, P. Receptors in the Suckers of Octopus. Nature 1962, 195, 57–59, doi:10.1038/195057a0. 62. Graziadei, P. Receptors in suchers of the cuttlefish. Nature 1964, 203, 384–387.
63. Graziadei, P.P.C.; Gagne, H.T. Sensory innervation in the rim of the octopus sucker. J. Morphol. 1976, 150, 639–680.
64. Alves, C.; Chichery, R.; Boal, J.G.; Dickel, L. Orientation in the cuttlefish Sepia officinalis: Response versus place learning. Anim. Cogn. 2007, 10, 29–36, doi:10.1007/s10071-006-0027-6.
65. Boal, J.G.; Golden, D.K. Distance chemoreception in the common cuttlefish, Sepia officinalis (Mollusca, Cephalopoda). J. Exp. Mar. Biol. Ecol. 1999, 235, 307–317, doi:10.1016/S0022-0981(98)00187-7.
66. Boyle, P.R. Ventilation rate and arousal in the octopus. J. Exp. Mar. Biol. Ecol. 1983, 69, 129–136, doi:10.1016/0022-0981(83)90062-X.
67. Boyle, P.R. Neural control of cephalopod behavior. In The Mollusca; Willows, A.O.D., Ed.; Academic Press: Orlando, FL, USA, 1986; pp. 1–99.
68. Chase, R.; Wells, M.J. Chemotactic behaviour in Octopus. J. Comp. Physiol. A 1986, 158, 375–381, doi:10.1007/BF00603621.
69. Lee, P.G. Chemotaxis by Octopus maya Voss et Solis in a Y-maze. J. Exp. Mar. Biol. Ecol. 1992, 156, 53–67, doi:10.1016/0022-0981(92)90016-4.
70. Hanlon, R.T.; Shashar, N. Aspects of the sensory ecology of cephalopods. In Sensory Processing in the Aquatic
Environment; Collin, S.P., Marshall, N.J., Eds.; Springer: New York, NY, USA, 2003; pp. 266–282.
71. Lucero, M.T.; Gilly, W.F. Physiology of squid olfaction. In Cephalopod Neurobiology: Neuroscience Studies in
Squid, Octopus and Cuttlefish; Abbott, N.J., Williamson, R., Maddock, L., Eds.; Oxford University Press:
London, UK, 1995; pp. 521–534.
72. Walderon, M.D.; Nolt, K.J.; Haas, R.E.; Prosser, K.N.; Holm, J.B.; Nagle, G.T.; Boal, J.G. Distance chemoreception and the detection of conspecifics in Octopus bimaculoides. J. Molluscan Stud. 2011, 77, 309– 311, doi:10.1093/mollus/eyr009.
73. Wood, J.B.; Pennoyer, K.E.; Derby, C.D. Ink is a conspecific alarm cue in the Caribbean reef squid, Sepioteuthis sepioidea. J. Exp. Mar. Biol. Ecol. 2008, 367, 11–16, doi:10.1016/j.jembe.2008.08.004.
74. Di Cosmo, A.; Maselli, V.; Polese, G. Octopus vulgaris: An Alternative in Evolution. Results Probl. Cell Differ.
2018, 65, 585–598, doi:10.1007/978-3-319-92486-1_26.
75. Huffard, C.L. Cephalopod neurobiology: An introduction for biologists working in other model systems.
Invertebr. Neurosci. 2013, 13, 11–18, doi:10.1007/s10158-013-0147-z.
76. Nesher, N.; Levy, G.; Grasso, F.W.; Hochner, B. Self-recognition mechanism between skin and suckers prevents octopus arms from interfering with each other. Curr. Biol. 2014, 24, 1271–1275, doi:10.1016/j.cub.2014.04.024.
77. Mollo, E.; Fontana, A.; Roussis, V.; Polese, G.; Amodeo, P.; Ghiselin, M.T. Sensing marine biomolecules: Smell, taste, and the evolutionary transition from aquatic to terrestrial life. Front. Chem. 2014, 2, 92, doi:10.3389/fchem.2014.00092.
78. Mollo, E.; Garson, M.J.; Polese, G.; Amodeo, P.; Ghiselin, M.T. Taste and smell in aquatic and terrestrial environments. Nat. Prod. Rep. 2017, 34, 496–513, doi:10.1039/c7np00008a.
79. Grable, M.M.; Shashar, N.; Gilles, N.L.; Chiao, C.C.; Hanlon, R.T. Cuttlefish body patterns as a behavioral assay to determine polarization perception. Biol. Bull. 2002, 203, 232–234, doi:10.2307/1543414.
80. Hanlon, R.T.; Messenger, J.B. Cephalopod Behaviour; Cambridge University Press: Cambridge, UK, 1996. 81. Yoshida, M.A.; Ogura, A.; Ikeo, K.; Shigeno, S.; Moritaki, T.; Winters, G.C.; Kohn, A.B.; Moroz, L.L.
Molecular Evidence for Convergence and Parallelism in Evolution of Complex Brains of Cephalopod Molluscs: Insights from Visual Systems. Integr. Comp. Biol. 2015, 55, 1070–1083, doi:10.1093/icb/icv049. 82. Zylinski, S.; Osorio, D.; Shohet, A.J. Perception of edges and visual texture in the camouflage of the common
cuttlefish, Sepia officinalis. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2009, 364, 439–448, doi:10.1098/rstb.2008.0264.
83. Gagnon, Y.L.; Osorio, D.C.; Wardill, T.J.; Marshall, N.J.; Chung, W.-S.; Temple, S.E. Can chromatic aberration enable color vision in natural environments? Proc. Natl. Acad. Sci. USA 2016, 113, E6908–E6909, doi:10.1073/pnas.1612239113.
84. Stubbs, A.L.; Stubbs, C.W. Reply to Gagnon et al.: All color vision is more difficult in turbid water. Proc.
Natl. Acad. Sci. USA 2016, 113, E6910–E6910, doi:10.1073/pnas.1614994113.
85. Ramirez, M.D.; Oakley, T.H. Eye-independent, light-activated chromatophore expansion (LACE) and expression of phototransduction genes in the skin of Octopus bimaculoides. J. Exp. Biol. 2015, 218, 1513–1520, doi:10.1242/jeb.110908.
86. Akkaynak, D.; Allen, J.J.; Mathger, L.M.; Chiao, C.C.; Hanlon, R.T. Quantification of cuttlefish (Sepia
officinalis) camouflage: A study of color and luminance using in situ spectrometry. J. Comp. Physiol. A Neuroethol. Sens. Neural Behav. Physiol. 2013, 199, 211–225, doi:10.1007/s00359-012-0785-3.
87. Buresch, K.C.; Ulmer, K.M.; Akkaynak, D.; Allen, J.J.; Mäthger, L.M.; Nakamura, M.; Hanlon, R.T. Cuttlefish adjust body pattern intensity with respect to substrate intensity to aid camouflage, but do not camouflage in extremely low light. J. Exp. Mar. Biol. Ecol. 2015, 462, 121–126, doi:10.1016/j.jembe.2014.10.017. 88. Chiao, C.C.; Wickiser, J.K.; Allen, J.J.; Genter, B.; Hanlon, R.T. Hyperspectral imaging of cuttlefish
camouflage indicates good color match in the eyes of fish predators. Proc. Natl. Acad. Sci. USA 2011, 108, 9148–9153, doi:10.1073/pnas.1019090108.
89. Hanlon, R.T.; Chiao, C.-C.; Mäthger, L.M.; Marshall, N.J. A fish-eye view of cuttlefish camouflage using in situ spectrometry. Biol. J. Linn. Soc. 2013, 109, 535–551, doi:10.1111/bij.12071.
90. Kühn, A. Color change and color sense in cephalopods. Z. Vgl. Physiol. 1950, 32, 573–598.
91. Mäthger, L.M.; Roberts, S.B.; Hanlon, R.T. Evidence for distributed light sensing in the skin of cuttlefish,
Sepia officinalis. Biol. Lett. 2010, 10.1098/rsbl.2010.0223, doi:10.1098/rsbl.2010.0223.
92. Young, J.Z. Learning and discrimination in the octopus. Biol. Rev. Camb. Philos. Soc. 1961, 36, 32–96. 93. Boal, J.G. Social recognition: A top down view of cephalopod behaviour. Vie Milieu 2006, 56, 69–79. 94. Anderson, R.C.; Mather, J.A. It’s all in the cues: Octopuses (Enteroctopus dofleini) learn to open jars. Ferrantia
2010, 59, 8–13.
95. Bertapelle, C.; Polese, G.; Di Cosmo, A. Enriched Environment Increases PCNA and PARP1 Levels in
Octopus vulgaris Central Nervous System: First Evidence of Adult Neurogenesis in Lophotrochozoa. J. Exp. Zool. B Mol. Dev. Evol. 2017, 328, 347–359, 10.1002/jez.b.22735, doi:10.1002/jez.b.22735.
96. Di Cosmo, A.; Polese, G. Neuroendocrine-Immune Systems Response to Environmental Stressors in the Cephalopod Octopus vulgaris. Front. Physiol. 2016, 7, 434, doi:10.3389/fphys.2016.00434.
97. Di Cosmo, A.; Polese, G.; Bertapelle, C.; Palumbo, A.; L., Z. Cefalopodi. Benessere ed Animal Care Dell’animale
98. Polese, G.; Winlow, W.; Di Cosmo, A. Dose-dependent effects of the clinical anesthetic isoflurane on
Octopus vulgaris: A contribution to cephalopod welfare. J. Aquat. Anim. Health 2014, 26, 285–294,
doi:10.1080/08997659.2014.945047.
99. Team, R.C. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2018.
100. Ambrose, R.F. Food preferences, prey availability, and the diet of Octopus bimaculatus Verrill. J. Exp. Mar.
Biol. Ecol. 1984, 77, 29–44, doi:10.1016/0022-0981(84)90049-2.
101. Mather, J.A. Foraging, feeding and prey remains in middens of juvenile Octopus vulgaris (Mollusca: Cephalopoda). J. Zool. 1991, 224, 27–39, doi:10.1111/j.1469-7998.1991.tb04786.x.
102. Anderson, R.C.; Wood, J.B.; Mather, J.A. Octopus vulgaris in the Caribbean is a specializing generalist. Mar.
Ecol. Progr. Ser. 2008, 371, 199–202, doi:10.3354/meps07649.
103. Mather, J.A.; Anderson, R.C. Personalities of octopuses (Octopus rubescens). J. Comp. Psychol. 1993, 107, 336– 340, doi:10.1037/0735-7036.107.3.336.
104. Scheel, D.; Lauster, A.; Vincent, T.L.S. Habitat ecology of Enteroctopus dofleini from middens and live prey surveys in Prince Wllliam Sound, Alaska. In Cephalopods Present and Past: New Insights and Fresh Perspectives; Landman, N.H., Ed.; Springer: Berlin/Heidelberg, Germany, 2007; pp. 434–458.
105. Vincent, T.; Scheel, D.; Hough, K. Some aspects of diet and foraging behavior of Octopus dofleini Wülker, 1910 in its northernmost range. Mar. Ecol. 1998, 19, 13–29.
106. Gilly, W.F.; Lucero, M.T. Behavioral Responses to Chemical Stimulation of the Olfactory Organ in the Squid
Loligo opalescens. J. Exp. Biol. 1992, 162, 209–229.
107. Woodhams, P.L.; Messenger, J.B. A note on the ultrastructure of the Octopus olfactory organ. Cell Tissue
Res. 1974, 152, 253–258.
108. Alves, C.; Boal, J.G.; Dickel, L. Short-distance navigation in cephalopods: A review and synthesis. Cogn.
Process. 2007, 9, 239, doi:10.1007/s10339-007-0192-9.
109. Byrne, R.A.; Kuba, M.; Griebel, U. Lateral asymmetry of eye use in Octopus vulgaris. Anim. Behav. 2002, 64, 461–468, doi:10.1006/anbe.2002.3089.
110. Kuba, M.J.; Byrne, R.A.; Meisel, D.V.; Mather, J.A. When do octopuses play? Effects of repeated testing, object type, age, and food deprivation on object play in Octopus vulgaris. J. Comp. Psychol. 2006, 120, 184– 190, doi:10.1037/0735-7036.120.3.184.
111. Mather, J.A. Behavioural interactions and activity of captive Eledone moschata: Laboratory investigations of a ‘social’ octopus. Anim. Behav. 1985, 33, 1138–1144, doi:10.1016/S0003-3472(85)80173-1.
112. Boal, J.G. A review of simultaneous visual discrimination as a method of training octopuses. Biol. Rev. Camb.
Philos. Soc. 1996, 71, 157–190.
113. Yohe, L.R.; Brand, P. Evolutionary ecology of chemosensation and its role in sensory drive. Curr. Zool. 2018,
64, 525–533, doi:10.1093/cz/zoy048.
114. Endler, J.A. Signals, signal conditions, and the direction of evolution. Am. Nat. 1992, 139, S125–S153. 115. Allen, A.; Michels, J.; Young, J.Z. Possible interactions between visual and tactile memories in octopus. Mar.
Behav. Physiol. 1986, 12, 81–97, doi:10.1080/10236248609378636.
116. Kuba, M.; Meisel, D.V.; Byrne, R.A.; Griebel, U.; Mather, J.A. Looking at play in Octopus vulgaris. Berl.
Paläontol. Abh. 2003, 3, 163–169.
117. Mather, J.A. Behaviour Development: A Cephalopod Perspective. Int. J. Comp. Psychol. 2006, 19, 98–115. 118. Mazzolai, B.; Margheri, L.; Dario, P.; Laschi, C. Measurements of octopus arm elongation: Evidence of
differences by body size and gender. J. Exp. Mar. Biol. Ecol. 2013, 447, 160–164, doi:10.1016/j.jembe.2013.02.025.
119. Messenger, J.B. Multimodal convergence and the regulation of motor programs in cephalopods. Fortschr.
Zool. 1983, 28, 77–98.
120. Graziadei, P.P.C.; Gagne, H.T. Neural components in octopus sucker. J. Cell Biol. 1973, 59, A21–A121. 121. Wells, M.J.; Wells, J. The Effect of Vertical Lobe Removal on the Performance of Octopuses in Retention
Tests. J. Exp. Biol. 1958, 35, 337–348.
122. Kuba, M.J.; Byrne, R.A.; Meisel, D.V.; Mather, J.A. Exploration and habituation in intact free moving
Octopus vulgaris. Int. J. Comp. Psychol. 2006, 19, 426–438.
123. Byrne, R.W.; Bates, L.A. Sociality, evolution and cognition. Curr. Biol. 2007, 17, R714–723, doi:10.1016/j.cub.2007.05.069.
124. Gibson, K.R. Cognition, brain size and the extraction of embedded food resources. In Primate Ontogeny,
Cognition and Social Behaviour; Else, J.G., Lee, P.C., Eds.; Cambridge University Press: Cambridge, UK, 1986;
pp. 93–105.
125. Mather, J.; Anderson, R.C.; Wood, J.B. Octopus, The Ocean’s Intelligent Invertebrate; Timber Press: Portland, OR, USA, 2018.
126. Di Cosmo, A.; Polese, G. Cephalopods meet Neuroecology: The role of chemoreception in Octopus vulgaris reproductive behaviour. In Neuroecology and Neuroethology in Molluscs—The Interface between Behaviour And
Environment; Di Cosmo, A., Winlow, W., Eds.; NOVA Science Publisher: Hauppauge, NY, USA, 2014; pp.
117–132.
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).